Muse Spark 1.2 Contributor

A much cheaper opt-in version of Muse Spark 1.2 with the same multimodal coding and agentic capabilities. Prompts and outputs sent to this Contributor model may be used by Meta for training and to improve its products; use the standard Muse Spark 1.2 model if you do not want your data used for training.

  • Reasoning
  • Vision
  • Audio Input
  • Video Input
  • Native PDF input
  • Tool Calling
  • Parallel Tool Calls
  • Structured Output

Added Aug 5, 2026

Pricing

Auto routing · per 1M tokens
Input
$0.10
Output
$0.20
Cache read
$0.0020

Specifications

Context window
1M
Max output
65.5K
Avg output (7d)
2.3K tokens
Longer than 94% of models

Benchmarks

Sourced from Artificial Analysis.

Intelligence Index

39.6

Better than 91% of models compared

Coding Index

72.2

Better than 87% of models compared

Agentic work

AutomationBench-AA

Workflow automation with guardrail penalties

40.6%

Better than 57% of models compared

AutomationBench-AA Tasks Completed

Fully completed workflows without guardrail violations

15.7%

Better than 61% of models compared

AA-Briefcase v1.1

Agentic knowledge work (Elo)

1327 Elo

Better than 69% of models compared

GDPval-AA v2.1

Economically valuable tasks (Elo)

1475 Elo

Better than 81% of models compared

Document reasoning

GDP.pdf

Professional PDF reasoning: all-pass rate

17.4%

Better than 64% of models compared

AA-LCR v1.1

Long context reasoning with updated grading

79.0%

Better than 81% of models compared

MLCR-AA

Medical long-context reasoning

7.2%

Better than 20% of models compared

Reasoning

HLE

Humanity's Last Exam

45.5%

Better than 93% of models compared

Coding

Terminal-Bench v4.0

Practical coding and terminal tasks

7.1%

Better than 57% of models compared

SciCode

Python programming for scientific computing

57.4%

Better than 88% of models compared

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

90.4%

Better than 90% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

79.0%

Better than 81% of models compared

Last updated Oct 25, 2026

Artificial Analysis

Providers

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Reliability

Last 3 days